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Repeated noise exposure and occupational hearing loss are common health problems in industries, particularly in the mining industry. Noise is produced from a variety of sources, including the type of ore being mined as well as the final customer product offered by the mine. Different strategies to minimize and avoid noise production can be implemented based on the source of noise generation. Sound level meter data collected on a grid pattern was used to create sound profiles of the working areas.
Source link: https://doi.org/10.1007/s42461-020-00198-6
Hence, the introduction of "green mine building" and the promotion of small- and medium-sized mines to green non-waste mining mode transition and upgrading are all crucial steps on the road to China's mining industry, which is of ubious practical importance. Jinhui Mining Co. , Ltd. , Jiuquan, Gansu Province; China's oldest green mine; and China's most modern green mine: the Pingshuo Coordination Ltd. , Shuozhou, Shanxi Province; this paper explores the main findings in the mining industry, including the Jinchuan Gold Mine, Lishui, Zhejiang Province; the most advanced mine, Chensu Province; and China's most modern mine, Jinchang Province; the mine; Jinchuan Mine, Ltd. , Ltd.
Source link: https://doi.org/10.3390/ijerph19138166
The ecological impact of an alpine open-pit coal mine in this report was determined by a variety of assessment factors on the two scales of ecological project area and ecological impact region. We created a multi-scale and multi-dimensional ecological restoration effect assessment model for the alpine open-pit coal mine in Then and used this model to investigate the effect of the Baiyinhua No. 1's ecological restoration program. This report aims that the multi-dimensional ecological assessment model of alpine open-pit coal mines will help with the ecological restoration and green development of key mining areas as a result.
Source link: https://doi.org/10.3390/ijerph19137682
People's health and well-being are greatly affected by coal mine accidents, and intelligent mines have greatly enhanced the production safety environment. However, safety management and miners' work in modern mines is facing new challenges and higher standards, and the security situation remains challenging. The impact of government control, leadership, education enhancement, safety system standardization, and dynamic supervision intensity, among other factors, are as follows: the importance of government control, leadership, education, and organizational culture have the most significant influence on the other factors; government control, leadership, education, earthquake prevention, and organizational safety culture have the highest centrality among the individual factors, device factors, and environmental factors; respectively, the key findings are as follows: the following links are as follows: the impact degree of government control, man-machine: Hence, appropriate control steps are being developed to improve coal mine safety and miners' occupational safety.
Source link: https://doi.org/10.3390/ijerph19127368
Several seismic risk assessment techniques are used to assess seismic risks at present, but their accuracy is severely limited by the incompleteness of seismic results. The likelihood of detecting earthquakes has been shown as a good way for recovering missing seismic events and improving the seismic data quality in mines. The findings revealed that the compensated seismic data provided greater certainty in locating future hazardous events than before. This paper provides information on improving the results of seismic analysis tools for seismic risk assessments.
Source link: https://doi.org/10.3390/s22103682
In several areas of the United States, a total of 171 sets of respirable dust samples were collected from 25 underground coal mines. In the original dataset, the first eight mines' findings were reported. Here, the database has been expanded to include findings from all 25 mines and to further subclassify particle mineralogy using improved SEM-EDX methods. Particle mineralogy binned by size from 100 to 10,000 nm on a per sample basis, but data is also available on a per particle basis. "Particle size and mineralogy concentrations in respirable dust samples from 25 U. S. underground coal mines are included in a parallel research paper". The original dataset contains 76 samples representing 15 mines, with findings from the first eight mines published in the original database and discussed in a previous research paper.
Source link: https://doi.org/10.1016/j.dib.2022.108125
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